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Abstract
Taylor, C.J., Chotai, A. and Young P.C., (2001) Design and application of PIP controllers: robust control of the IFAC93 benchmark, Transactions of the Institute of Measurement and Control, 23, 183-200. (ISSN:0142-3312).
Proportional-Integral-Plus (PIP) controllers exploit the full
power of optimal state variable feedback within a Non-Minimum State
Space (NMSS) setting. They are simple to implement and provide a logical
extension of conventional PI/PID controllers, with additional dynamic
feedback and input compensators introduced automatically when the
process is of greater than first order or has appreciable pure time
delays. The present paper provides a tutorial introduction to the
NMSS/PIP control design methodology and associated system identification
procedure. The latter is based on the utilisation of the Simplified
Refined Instrumental Variable (SRIV) algorithm for the estimation of
transfer function models. The practical utility of these techniques is
illustrated by their application to the IFAC93 benchmark system, a 7th
order stochastic simulation whose parameters vary randomly within
specified ranges. This benchmark provides a good simulation example for
tutorial purposes, since it requires the control engineer to work
through all the usual design steps, including: identification of a low
order control model; control system design; and implementation using a
standard programming language, in this case 'C'. Finally, note that the
statistical estimation tools described in the paper have been assembled
as a toolbox within the MatlabTM software environment.
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Updating responsibility Arun Chotai. This page is copyright of Lancaster University.
12/10/01 - PGM.
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